Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 8
Distributed Systems @ 3
GPU @ 3
HPC
Machine Learning
Networking
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About the Team
OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient.
As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery.
Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted.
About the Role
We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online.
You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production.
This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models.
Key Responsibilities
- Help build, scale, and operate OpenAI’s global compute infrastructure.
- Solve complex problems across software, hardware, manufacturing supply chain, and data center systems.
- Improve the reliability, performance, efficiency, and scalability of critical infrastructure.
- Partner with cross-functional teams to bring new compute capacity online quickly and reliably.
- Identify bottlenecks across technical, operational, and physical systems, and develop practical solutions.
- Build tools, processes, systems, or infrastructure that improve execution at scale.
- Contribute to the long-term architecture and operational maturity of OpenAI’s compute footprint.
Qualifications
- Have experience building, scaling, or operating complex technical systems.
- Enjoy working on ambiguous, high-impact problems where the path forward is not always defined.
- Are comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure.
- Have strong technical judgment and a bias toward execution.
- Care deeply about reliability, speed, safety, and operational excellence.
- Are excited by the challenge of building infrastructure at unprecedented scale.
- Want your work to directly support the development and deployment of frontier AI.
Preferred Skills
- Have experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms.
- Have worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects.
- Have domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering.
- Have helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production.
- Have experience operating in fast-moving environments where technical depth and execution speed both matter.
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.